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Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your understanding of computer architecture to work on the choices that shape Graphcore's next generation of AI hardware. As a Graduate SoC Architecture Engineer, you'll help specify, model and evaluate complex system-on-chip (SoC) subsystems, with guidance from experienced architects. You'll explore how product requirements translate into technical options, design trade-offs and validation plans. Your work will likely include some of: taking responsibility for the architecture of a chip subsystem or function, modelling architectural features, assessing third-party intellectual property (IP) and supporting silicon bring-up. Working across design, verification, hardware and software teams, you'll help gather the performance evidence that supports architecture decisions. Your team and support The Silicon Architecture team sits within the Silicon group. We stand for practical ambition: clear thinking, careful engineering and curiosity that improves real systems. You'll work with mentors and experienced architects through design reviews, modelling, simulation, documentation and discussions with neighbouring teams. You'll take ownership of defined tasks that grow in scope as you develop your skills. Simulations, performance data and design constraints help guide our decisions. You'll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when something needs testing, explaining or support. How you'll learn and grow During the two-year programme, you'll develop your architecture skills through hands-on architectural design + integration, modelling and evaluation of AI acceleration hardware, supported by mentors. Exploring technical options and running simulations will help you understand how architecture choices affect system behaviour. You'll learn how to compare trade-offs, document findings and use performance evidence to support a decision. Design reviews and work across engineering teams will help you connect specifications to implementation and validation. Supporting silicon bring-up will give you experience of how architectural ideas are checked on real hardware, while tasks that grow in scope will build your technical judgement and confidence. What we're looking for A degree, or expected degree, in Electronic Engineering, Computer Science or a related field An understanding of computer architecture or digital systems, with an interest in SoC design, AI hardware or high-performance computing Programming experience in Python, Rust, C++ or a similar language Analytical problem-solving skills and clear written and verbal communication, including documenting findings and explaining technical ideas You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Exposure to register-transfer level (RTL) design, modelling, simulation, PCIe, Ethernet or DDR would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent SoC Architecture Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your C++ skills to work modelling future AI accelerators before they exist and help shape how Graphcore engineers design them. As a Graduate Software Engineer in Accelerator Modelling, you'll develop, test and refine models and simulations for the next-generation AI accelerators. Your work will help predict performance, power consumption and scalability, giving engineers evidence to compare approaches before hardware decisions are made. You'll investigate how complex workloads behave, contribute to planning, design, implementation and testing, and help other teams integrate future hardware versions. You'll also help scale distributed modelling environments. It's a chance to see how software models connect architectural ideas with future hardware. Your team and Support The Accelerator Modelling Team works across architecture, hardware and software. You'll be working in a small team, team lead and all senior members would support you with every step on your way. Modelling team faces a lot of the unknowns and challenging problems at the cutting edge of AI technology. There's a buddy system in place, so you will always have a point of contact , ready to answer all questions or help with anything. Decisions are driven by evidence from the models and clear engineering judgement. You'll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. How you'll learn and grow During the two-year programme, you'll build practical experience in C++ development, hardware simulation and performance modelling, building skills close to architecture, software and hardware design. Developing and debugging modelling code will help you understand how complex workloads behave and how to test whether a model captures that behaviour. Reviews and feedback will help you develop your engineering judgement and explain the trade-offs you find. Working with architects, engineers and machine learning researchers will show you how modelling results inform hardware decisions and how your work connects to the wider computing system. What we're looking f or Bachelor's/ Master's degree, or equivalent experience, in Computer Science, Maths, Machine Learning, Data Science or a related field Strong C++ programming skills, gained through study, projects, personal coding or practical experience An understanding of computer science fundamentals and an interest in lower-level software The ability to debug complex problems and explain your thinking clearly, with exposure to debugging tools, performance analysis, testing, version control or collaborative software development practices C uriosity about processor architecture, hardware simulation, performance modelling or systems behaviour, and a willingness to ask questions and learn through feedback You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role in Accelerator Modelling, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next . Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Use your programming skills and curiosity to help AI models run efficiently on next-generation Graphcore hardware. In AI Compute Libraries & Performance, you'll contribute to C++ libraries and compute kernels for machine learning workloads. Your work will include: Developing compute kernels: Implement and improve operations such as matrix multiplication (GEMM), convolutions, reductions, elementwise operations and fused kernels that combine multiple operations. Understanding and improving performance: Use profiling and microbenchmarks to measure execution speed and investigate how threading, cache locality, memory layout and kernel launch efficiency affect performance. Checking correctness and reliability: Build regression tests and numerical checks, investigate issues and improve the quality of the libraries our customers use. Through these projects, you'll develop practical experience connecting numerical computing with how code runs on hardware, helping deliver software that is fast, accurate and reliable. Your team and support You'll join a team building high-performance compute libraries that help customers get more from Graphcore hardware. Our work brings together machine learning, numerical computing and accelerator performance, with colleagues sharing their expertise to solve engineering problems. You'll contribute to clearly scoped projects and build your skills with guidance from engineers working in performance and low-level software. Together, we use profiling, experiments and technical reviews to compare approaches, understand trade-offs and improve our solutions. Your buddy will help you settle in, get familiar with our tools and ways of working, and find the right people to ask. Your manager will meet with you regularly to agree goals, offer feedback and discuss your development, including time for learning. We welcome different perspectives and make space for everyone to contribute. Questions, alternative approaches and requests for help are part of how we work. As you take on more responsibility, your colleagues will help you work through challenges, and your ideas will be listened to and discussed respectfully. How you'll learn and grow During the two-year programme, you'll build performance engineering skills through hands-on work on compute kernels, benchmarks and tests. Profiling and experiments will help you understand where time is spent and how changes to code and data layout affect performance. Numerical validation and regression testing will show you how to check that an optimisation preserves correct results and continues to work as software changes. Working with specialists and discussing technical trade-offs will help you develop your engineering judgement, explain your findings and connect mathematical operations to efficient implementations on hardware. What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Experience with C++11 Familiarity with Python or scripting tools for automation and testing Understanding of linear algebra, numerical methods or scientific computing, with problem-solving skills and collaborative approach to unfamiliar technical challenges You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Coursework or experience in machine learning frameworks, parallel programming, code optimisation, maths libraries or performance analysis would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help make AI compute more efficient. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your software skills to work testing how AI and machine learning workloads run on Graphcore accelerator hardware. As a Graduate Software Engineer in AI/ML Test Systems, you'll create representative machine learning workloads and analyse their numerical accuracy and performance. You'll design tests and help improve testing strategies and infrastructure across simulated and physical hardware. You'll also build continuous integration and continuous delivery (CI/CD) pipelines, investigate difficult problems and turn your findings into measurable improvements. Your work will connect machine learning frameworks and models with the hardware beneath them, helping improve software quality and customer experience. Your team and support The Software QA team combines software engineering, automation and data analysis to improve product quality and customer experience. We work extensively with industry-standard machine learning frameworks and models, including contributions to upstream open-source projects. Our team works in small squads, each with ownership of a particular area of software quality. As a graduate, you'll have the opportunity to explore the breadth of our work, gain practical experience across different areas and discover what interests you before settling into a squad. You'll work alongside engineers who investigate problems, share findings and collaborate closely with development teams to improve quality, security and maintainability. Test results, performance data and the needs of the wider software organisation guide our decisions. You'll have a buddy to help you find your feet and a manager who will support your development, explore your career goals with you and help make time for learning. You'll be encouraged to ask questions, challenge existing approaches and take initiative, with experienced colleagues to turn to for guidance as you build confidence and take ownership of your work. How you'll learn and grow During the two-year programme, you'll build practical experience across machine learning, testing, automation and performance analysis. Creating workloads and analysing results will help you understand how software behaves on accelerator hardware. Debugging issues will develop your problem-solving skills and help you connect numerical accuracy and performance to the systems running a model. Work on test infrastructure and CI/CD will show you how automated checks support software development across simulated and physical platforms. Sharing findings with development teams will help you explain technical problems clearly and turn evidence into improvements. What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Strong Python skills and proficiency in C++ Experience working with Linux operating systems and the ability to learn new technologies quickly Exposure to machine learning frameworks such as PyTorch, JAX, Triton or TensorFlow, test automation, CI/CD, data analytics, hardware architectures or compilers would be useful. Experience with distributed workload management systems or machine learning operations (MLOps) pipelines would also be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role in AI/ML Test Systems, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your coding skills to work at the boundary of hardware and software, helping Graphcore's platforms perform at their best. As a Graduate Systems Software Engineer in the Drivers and Utilities team, you'll help plan, build, test and improve kernel drivers and user space driver libraries. Your code will support the wider software stack and help engineering teams and customers use Graphcore hardware efficiently and effectively. You'll write code to Graphcore standards, create unit tests, review code and manually test changes. You'll also support our continuous integration system and contribute to technical design discussions, learning how changes are developed, checked and integrated. Your team and support Systems Software brings together Firmware, Drivers and Utilities, and System QA. These teams enable the silicon and hardware platforms created across Graphcore. You'll work closely with hardware and software colleagues through design discussions, Scrum ceremonies, code reviews and testing. Technical evidence and the needs of the software stack help guide our decisions. As you find your feet with your buddy's assistance, you'll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your code, ask questions early and learn from feedback. Speak up when you spot a problem or need support. While we expect more of a learning curve with graduates joining the team, everyone's contribution is valued and you may find your solutions to our most challenging problems being adopted – some of our previous graduates' ideas have even been accepted for patent applications in their first year with the company! How you'll learn and grow During the two-year programme, you'll build your understanding of how hardware and software interact through hands-on work on drivers and libraries. Writing and testing changes will help you develop your low-level programming skills and learn how to check that your code behaves as intended. Work on continuous integration will show you how automated checks support reliable software development. Code reviews, design discussions and practical problem solving with hardware and software teams will help you develop your engineering judgement, explain your approach and understand how your work fits into Graphcore's wider software stack. What we're looking for Experience with low-level software, such as embedded software, device drivers, or a university or personal project Basic electronics knowledge, including confidence reading schematics and datasheets Introductory coding experience in C, C++ or Python Practical Git experience, including branches, pull requests, reviews and merges, and awareness of Continuous Integration systems such as Jenkins Bring curiosity about how hardware and software platforms interact, a willingness to take responsibility for your work and openness to asking questions and learning from others You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Systems Software Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Help build the software that connects Graphcore hardware with the machine learning frameworks researchers and engineers rely on. As a Graduate Software Engineer across our Frameworks team, you'll develop software connecting Graphcore's machine learning accelerators with frameworks including PyTorch and Triton. You'll implement features, optimise performance, resolve defects and create tests and technical documentation. You'll write and improve tests, investigate issues and help make the software more reliable and faster. You'll also write clear documentation and take part in code reviews, discussing ideas and learning from feedback. Take ownership of clearly scoped tasks, with support from experienced colleagues as you learn your way around the codebase. Your team and support The Frameworks team works with tools including PyTorch and Triton Its work connects these tools with compilers, which translate code for hardware, and runtime software, which helps it execute. We plan and review work in short cycles using Scrum. You'll have clear priorities, regular feedback and opportunities to learn from colleagues working across software and hardware. Technical evidence and the needs of our users help guide our decisions. You'll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when you spot a problem or need support. How you'll learn and grow During the two-year programme, you'll build your understanding of how software and hardware work together to run AI workloads. Hands-on tasks will help you develop your knowledge of compilers and runtime software, alongside your skills in testing, debugging and documentation. Code reviews and technical discussions will give you feedback on your approach and help you learn how other engineers solve problems. As you build confidence in the codebase, you'll learn how to turn an idea into a software feature, investigate how it behaves and explain your work to colleagues.[ What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Hands-on experience with Python or C++, with the ability to write clear, maintainable code, tests and documentation Practical experience or a strong academic understanding of compiler development, ML frameworks or a computationally intensive engineering field An interest in AI, machine learning frameworks, high-performance software or computer architecture, with curiosity and openness to learning through feedback and technical discussions You can demonstrate these skills through coursework, a dissertation, personal or team projects, placements, internships, open-source contributions or other relevant experience. Relevant modules and university projects count as evidence of your compiler knowledge. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role in our Frameworks team, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol or Cambridge, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your programming and Linux skills to work on the software that helps Graphcore's AI systems run reliably. As a Graduate Software Engineer in System Software Quality Assurance (QA), you'll help validate low-level firmware, Linux kernel drivers and platform tools. You'll design and develop tests, investigate issues and give development teams clear feedback on software quality. You'll also maintain and improve continuous integration pipelines across different platforms. Working closely with System Software development teams, you'll help strengthen test-driven development and solve practical engineering problems that matter to customers. Your team and support You will be working closely with a team of passionate engineers who will help you each step of the way. Your buddy will be Myles who has recently completed his own graduate program, they can not only help you with becoming an individual contributor but also suggest some fascinating travel destinations for your next holiday. How you'll learn and grow During the two-year programme, you'll deepen your systems knowledge through hands-on testing across firmware, Linux kernel drivers and platform tools. Designing tests will help you understand the foundations on which some of the most popular models run, finding and debugging defects will teach you about the low-level software and interactions with the hardware. You will have a chance to work in the lab configuring hardware connections and work on building automation pipelines to seamlessly run tests in loop and process results. Collaboration with development teams will help you connect your findings to software improvements, explain technical issues clearly and develop your engineering judgement from design through delivery. What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Data Science or a related field Experience working with Linux internals and or firmware Strong proficiency in C/C++ and Python Clear written and verbal communication, with a collaborative, practical approach to solving challenging technical problems and taking ownership of quality work You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Knowledge of low-level software testing, virtualisation, hypervisor concepts or automation pipelines would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent System Software QA role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Duration: 12 weeks Salary: £2500 per month Start date: June 2027 Application deadline: Midnight 29th November We encourage you to apply early, as we may close applications before the advertised deadline. The Internship Programme at Graphcore Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You'll bring fresh ideas, put your learning into practice and help shape what we're creating. Along the way, you'll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. What you'll work on Put your low-level programming skills to work on the drivers that connect Graphcore's AI hardware with machine learning software. As a Software Engineering Intern in Drivers and Utilities, you'll explore kernel and user-space development alongside engineers working across the hardware and software stack. Your contributions will help the wider software team use Graphcore hardware efficiently and support the systems our customers depend on. Your tasks could include writing code, adding unit tests and manually testing your own and teammates' changes. You'll also help maintain continuous integration (CI) and fix issues, contributing to the work that keeps software development moving. The team and culture The Drivers and Utilities team sits within System Software, alongside Firmware and System QA. You'll work with engineers who collaborate directly with Poplar SDK developers, silicon engineers and hardware engineers. Technical design discussions, code reviews and Scrum sessions will help you understand how the team develops and coordinates its work. You can ask for help as you learn the codebase, discuss different approaches and use feedback to improve your changes. Decisions are shaped by design discussions, code reviews and test results. As an intern, you'll be encouraged to ask questions, share ideas and flag problems early, with support from experienced engineers as you learn. How you'll learn and grow Over the 12 weeks, you'll build practical experience in low-level software development, testing and continuous integration through the work your tasks focus on. Following changes from an initial idea through implementation and testing will help you understand what makes driver software reliable. You'll learn how to check your work, investigate issues and contribute to a shared codebase, gaining a clearer view of a career close to the hardware. Your internship is a chance to explore a future at Graphcore. Depending on your performance and the roles available, there may be an opportunity to join one of our graduate programmes once you've graduated. What we're looking for Currently studying for a bachelor's or master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Low-level software experience, such as embedded code or device drivers, and introductory programming experience in C, C++ or Python. Personal or university projects count Basic electronics knowledge, including the ability to read and understand schematics and datasheets Awareness of continuous integration systems such as Jenkins, plus experience using Git to manage source code, raise and review pull requests, and merge branches Previous industry experience is not required. Tell us what you built or investigated through coursework, personal or team projects or other relevant experience, how you approached it and what you learned. Benefits Flexible working: Find a balance between your internship and life outside work 5 days of annual leave: Take time to rest and recharge during your 12-week internship Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista Learning and development: Build your skills and explore your interests with access to O'Reilly, our online learning platform We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: From semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. An internship at Graphcore gives you the chance to explore where your interests and skills could take you. You'll work alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. Together, you'll share ideas and solve challenging problems, building experience and confidence to help you decide what comes next. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Curious about where your skills could take you? Apply for a summer internship at Graphcore and help us build what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Salary: £2500 per month Start date: June 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Internship Programme at Graphcore Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You'll bring fresh ideas, put your learning into practice and help shape what we're creating. Along the way, you'll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. What you'll work on Use your programming skills and curiosity to help AI models run efficiently on next-generation Graphcore hardware. In AI Compute Libraries & Performance, you'll contribute to C++ libraries and compute kernels for machine learning workloads. Your work will include: Developing compute kernels: Implement and improve operations such as matrix multiplication (GEMM), convolutions, reductions, elementwise operations and fused kernels that combine multiple operations. Understanding and improving performance: Use profiling and microbenchmarks to measure execution speed and investigate how threading, cache locality, memory layout and kernel launch efficiency affect performance. Checking correctness and reliability: Build regression tests and numerical checks, investigate issues and improve the quality of the libraries our customers use. Through these projects, you'll develop practical experience connecting numerical computing with how code runs on hardware, helping deliver software that is fast, accurate and reliable. Your team and support You'll join a team building high-performance compute libraries that help customers get more from Graphcore hardware. Our work brings together machine learning, numerical computing and accelerator performance, with colleagues sharing their expertise to solve engineering problems. You'll contribute to clearly scoped projects and build your skills with guidance from engineers working in performance and low-level software. Together, we use profiling, experiments and technical reviews to compare approaches, understand trade-offs and improve our solutions. Your buddy will help you settle in, get familiar with our tools and ways of working, and find the right people to ask. Your manager will meet with you regularly to agree goals, offer feedback and discuss your development, including time for learning. We welcome different perspectives and make space for everyone to contribute. Questions, alternative approaches and requests for help are part of how we work. As you take on more responsibility, your colleagues will help you work through challenges, and your ideas will be listened to and discussed respectfully. How you'll learn and grow Over the 12 weeks, you'll build performance engineering skills through hands-on work on compute kernels, benchmarks and tests. Profiling and experiments will help you understand where time is spent and how changes to code and data layout affect performance. Numerical validation and regression testing will show you how to check that an optimisation preserves correct results and continues to work as software changes. Working with specialists and discussing technical trade-offs will help you develop your engineering judgement, explain your findings and connect mathematical operations to efficient implementations on hardware. What we're looking for Currently studying towards a bachelor's or master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Experience with C or C++11, plus familiarity with Python or scripting tools for automation and testing An understanding of linear algebra, numerical methods or scientific computing Problem-solving skills and collaborative approach to unfamiliar technical challenges Previous industry experience is not required. Tell us what you built or investigated through coursework, personal or team projects or other relevant experience, how you approached it and what you learned. Coursework or experience with machine learning frameworks, parallel programming, code optimisation, maths libraries or performance analysis would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Find a balance between your internship and life outside work 5 days of annual leave: Take time to rest and recharge during your 12-week internship Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista Learning and development: Build your skills and explore your interests with access to O'Reilly, our online learning platform We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: From semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Curious about where your skills could take you? Apply for a summer internship at Graphcore and help us build what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that's automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You'll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Germany, the base compensation range for this role is € 97,034 - €116,441 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process. Why You'll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new 'Grafanistas' to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you've applied to a job, check out our privacy policy . Find Jobs in Germany on Arbeitnow

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is looking for a Senior Software Engineer (Front-end-leaning) to join our Operations Foundations team. The team sits within the DoorDash Client and AI Development group and is responsible for the foundation that hundreds of engineers across Wolt, DoorDash, and Deliveroo rely on to build internal operations tools. Our platform hosts 250+ micro-frontends (MFEs) used to operate every part of the business. Our team is focused on building a scalable, reliable, and high-quality internal tooling platform that supports Wolt, DoorDash, and Deliveroo's operations and business. The team plays an important role in improving how engineers build, test, and ship software across the organization, with a strong emphasis on reusable libraries, micro-frontend architecture, and agentic development: building the platform where AI agents can take changes from task to merged PR safely and reliably without lowering the quality bar. Currently, we are focused on unifying our frontend platforms, evolving shared components and library development, improving developer productivity, and enabling teams to deliver more independently through better architecture and tooling. It's an exciting time to join because the team has strong ownership and a broad technical impact. We're looking for a Senior Software Engineer who can take ownership of complex technical initiatives across both frontend and sometimes backend and infra domains. In this role, you'll work primarily with TypeScript, React, Node.js, CI/CD pipelines (GitHub Actions, Buildkite), and MFE architecture to build scalable, maintainable solutions that support multiple product teams and business areas. Success in this role means becoming a trusted technical owner who consistently delivers reliable solutions and helps the team execute more effectively. Six months into the role, we'd expect you to be independently leading technical initiatives and contributing meaningfully to architecture and delivery planning. This role offers the opportunity to solve challenging engineering problems with visible impact across the business. It's especially exciting for someone who enjoys combining product engineering with platform thinking, improving developer workflows, and building systems that scale across teams and domains. What you'll be doing Owning the Foundation: the runtime, build, deployment, and developer experience that 250+ MFEs and hundreds of engineers depend on every day. Evolving Our Micro-Frontend Architecture : improve composition, isolation, and shared dependency strategies so feature teams can move fast. Product and Planning: Independently drive projects from idea to production: breaking down ambiguous problems into clear technical plans, estimating delivery, identifying risks early, and delivering high-quality solutions in a timely manner. Supporting Engineering Excellence : Champion best practices, raise the bar for code quality, and turn lessons learned into platform improvements. Long-Term Thinking: Balance short-term feature unblockers with the long-term health, security, and maintainability of the platform. Agentic Development: Build the foundations that let AI agents work autonomously on our platform, including agent instructions, reusable skills, tool integrations, guardrails, and the automated checks that make agent-authored changes safe to ship. AI Fluency: Work agent-first in your own day-to-day: delegate implementation to agents, and focus your judgment on direction, architecture, and verifying outcomes. 📍This role can be based in our Berlin tech hub. Read more about our hybrid setup here . Feel free to check out the Wolt Tech Blog for more insight into our culture and technology. Our humble expectations Proven expertise in building production frontend applications using TypeScript and React. Solid backend knowledge, comfortable owning and operating Node.js services that support frontend infrastructure. Strong knowledge of frontend build tools, bundlers, and module systems, and the ability to evolve them as the platform grows. Track record of diagnosing and resolving complex performance, reliability, or DX issues in large frontend codebases. Experience driving technical initiatives across multiple engineering teams and stakeholders. Strong stakeholder management skills: aligning priorities, managing expectations, and communicating trade-offs clearly with partner teams and leadership. Strong communication skills and a collaborative, platform-mindset approach to working with feature teams. Strong documentation skills, including experience writing RFCs or ADRs. Nice to Haves Experience with micro-frontend architecture. Frontend platform engineering experience. Experience building shared component libraries used by many product teams. Hands-on experience with CI/CD pipelines, deployment processes, and cloud infrastructure for frontend workloads. Experience or interest in observability and reliability (SRE). Experience building tooling or workflows for autonomous AI coding agents (e.g., agent instructions, skills, MCP servers, or evaluating agent-generated code). What's in it for you Impact: Build and shape the platform that thousands of people depend on. Scale: Work on real platform problems behind 250+ MFEs with hundreds of monthly contributors. Collaboration: Partner with talented engineers, designers, and operators across companies to make their daily work faster and better. Growth: Take on deep technical challenges across frontend architecture, agentic development, DX, and improving engineering efficiency. Culture: Be part of a diverse, open-minded team that values creativity, autonomy, and continuous learning. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find more English Speaking Jobs in Germany on Arbeitnow

At Pixida, we're passionate developers and technology consultants driving digitalization and mobility solutions. As we continue to grow, we're looking for an experienced full-stack software engineer to join our development team. You'll work on cutting-edge projects in connected services, backend infrastructure, and tailor-made solutions — the kind of work that shapes how vehicles and services connect. If that sounds like you, we'd love to meet you. Responsibilities Take ownership of major new features, using the latest technologies and methodologies. Drive solution analysis, development, and integration across frontend, backend, and cloud systems. Ensure product quality through automated testing and clean code. Advance and foster our culture of best practices throughout the development process. Requirements Professional experience (or a substantial personal/open-source project) in one or more of these areas: Frontend: TypeScript and Angular (React a plus) Backend: Java, Kotlin, or Node.js, with SQL and/or NoSQL databases DevOps: GitLab and CI/CD Cloud: AWS, Azure, or similar Benefits We support your health with attractive offers like gym subsidy, health workshops, sport events,… We support you in the public transportation, e.g Deutschlandticket, Mobility Voucher. We support, offer and cover the cost of language courses from level A1 to C1. We support you to help you grow individually by a variety of training programs Dependend on the country you're hired: We provide some support for several insurances, e.g. occupational disability, health, life insurance. Enjoy daily supportive lunch provisions. Pixida is proud to be an Equal Opportunity Employer! We are committed to a work environment that supports, inspires and respects all individuals and in which all aspects of employment are applied without discrimination. Therefore we encourage all individuals to apply! Find Jobs in Germany on Arbeitnow